Extensions/ComfyUI OmniConsistency Nodes
ComfyUI Extension

ComfyUI OmniConsistency Nodes

ComfyUI OmniConsistency Nodes is a collection of nodes for ComfyUI that allows you to load and use OmniConsistency models.

By lc03lc·Created about a year ago·Updated about a year ago· 63
lc03lc/Comfyui_OmniConsistency
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Updatedabout a year ago
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ComfyUI OmniConsistency Nodes

ComfyUI OmniConsistency Nodes is a collection of nodes for ComfyUI that allows you to load and use OmniConsistency models.

https://github.com/showlab/OmniConsistency ComfyUI need 40GB VRAM to run.

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Installation

Clone the plugin repository into /path/to/ComfyUI/custom_nodes:

git clone https://github.com/lc03lc/Comfyui_OmniConsistency
cd Comfyui_OmniConsistency
pip install -r requirements.txt

Model Download

Required: OmniConsistency main checkpoint
→ https://huggingface.co/showlab/OmniConsistency/resolve/main/OmniConsistency.safetensors

Optional: OmniConsistency built‑in LoRAs
→ https://huggingface.co/showlab/OmniConsistency/tree/main/LoRAs

Note: You can replace lora_path with any FLUX‑1‑based LoRA—whether it comes from Civitai, LiblibAI, or your own training—just point it to the corresponding .safetensors file.

Node Inputs

| Port / Widget | Type | Default | Notes | | --- | --- | --- | --- | | prompt | STRING (multiline) | <Trigger Words>, … | Free‑text description | | spatial_image | IMAGE port | — | One upstream image (HWC float32 0‑1, or any ComfyUI image type) | | height / width | INT | 1024 | Must be multiples of 8 | | guidance_scale | FLOAT | 3.5 | CFG scale | | num_inference_steps | INT | 25 | DDIM / DPM steps | | seed | INT | 42 | 0 = random | | base_model_path | STRING | black-forest-labs/FLUX.1-dev | Local folder or HF repo name | | omni_model_path | STRING | /path/to/OmniConsistency.safetensors | Main OmniConsistency weights | | lora_path (optional) | STRING | empty | Any Flux.1-based extra LoRA; leave blank to disable |

Node Output

IMAGE port → list [torch.Tensor (H, W, C) float32 0‑1]
You can wire it directly to Preview Image, Save Image, Upscale, etc.

Built-in LoRAs Results

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